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Chemical/Instrumental Approaches to the Evaluation of Wine Chemistry
| Chemical/Instrumental Approaches to the Evaluation of Wine Chemistry |
| Autore | Perestrelo Rosa Maria de Sá |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (148 p.) |
| Soggetto topico | Chemistry |
| Soggetto non controllato |
activator
aggregation anthocyanins antioxidant activity arabinogalactan atomic absorption Bee pollen biological aging Brettanomyces charged aerosol detection (CAD) Chinese wine cowslip cyclodextrins dessert wine estimated daily intake flavonoids gas chromatography-mass spectrometry GC-qMS health potential health risk assessment HS-SPME hydrogels ICP-MS ionic exchange resin mannoprotein metals n/a nanoparticle tracking analysis nuclear magnetic resonance photo-diode array detector (PDA) potential odorants Primula veris L. seed tannin sherry wine smoke taint sweeteners trace elements triterpenoid saponins VOCs volatile phenols white spirits wine |
| ISBN | 3-03928-735-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404077803321 |
Perestrelo Rosa Maria de Sá
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging Sensor Technology in Agriculture
| Emerging Sensor Technology in Agriculture |
| Autore | Fuentes Sigfredo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (240 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
3D crop modeling
acceleration sensor adaptive thresholding airflow field test animal detection apple orchards artificial intelligence artificial neural networks bunch area bunch volume bushfires capacitor sensor CFD Citrus sinensis L. Osbeck cluster morphology cocoa beans colour thresholding computer vision crop growth deep learning deposit mass depth images ethylene gas detection formulations fruit detection fruit ripeness Gaussian processes guar image analysis image processing image segmentation infrared infrared thermography ionization Kinect sensor leaf area index logistic regression machine learning mechanical harvesting mesh modeling and simulation monitoring method n/a near-infrared spectroscopy non-invasive sensing technologies on-ground sensing parameter acquisition parameter tuning partial least square pesticide droplets phenomics phenotype phenotyping pigeon pea point cloud pose estimation precision livestock precision viticulture proximal sensing remote sensing RGB RGB-D smoke taint soybean spectral sensor stress support vector machine surface reconstruction tepary bean Triticum aestivum unmanned aerial vehicles vibration time VitiCanopy app volatile compounds water deficit |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295003321 |
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Fuentes Sigfredo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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